1 to 25 of 36 Contract LLM Jobs in London

scoped service accounts; integrate BeyondCorp for zero trust access Operationalise observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs ...

pipelines-from feature engineering and preprocessing to deployment ready model outputs Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant Implement model evaluation frameworks using offline metrics, cross validation, online experiments, and human in the loop feedback loops Communicate insights ...

multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualizations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation, and production services ...

models into production and establish automated monitoring systems to track drift and performance. Technical Requirements Core AI/ML: Strong experience in ML algorithms, LLM architectures, and deep learning frameworks. Generative AI: Proven expertise in Prompt Engineering and fine-tuning pre-trained models. Engineering: Proficiency in Python and experience designing ...

Strong background in Java programming and modern Java frameworks Proven experience with AI technologies such as: Claude Code, GitHub Copilot, MCP (Model Context Protocol), LLM (Large Language Models) Track record of implementing AI solutions in production environments Experience working in financial services (desirable) Strong collaboration and communication skills What ...

Ops. You must have experience of using Python and/or R to analyse disparate data sets. Experience of Gen AI/LLM hands on development is preferred. Please apply ASAP to find out more. ...

experience with Microsoft Copilot/Copilot Studio Proven experience building AI agents using Azure AI/Azure OpenAI services Experience with prompt engineering, LLM orchestration, and agent workflows Solid understanding of Microsoft Azure ecosystem Experience integrating AI into enterprise environments Ability to work in fast-paced, delivery-focused projects Desirable ...

major retail organisation. What you’ll be doing: Building data pipelines on AWS Developing high-performance Snowflake data models Delivering Snowflake Cortex AI/LLM use cases Working with large-scale retail data (sales, customer, inventory) You’ll need: Strong AWS Data Engineering background Hands-on Snowflake experience Exposure ...

pipelines and architecture About you: Strong experience with Python and AWS Deep knowledge of data pipelines, AI/ML systems and modelling Experience with LLM- or NLP-powered platforms Strong focus on scalable, reliable system design Please apply now and reach out to Adam at Opus for more informationE ...

/MLOps pipelines, and automated SDLC. Stakeholder Management: Translate complex business requirements into actionable technical backlogs for engineering teams. Innovation: Evaluate emerging GenAI/LLM tech and lead PoCs to drive 'idea-to-value' at pace. Requirements AI Expertise: Deep knowledge of GenAI, LLMs, and Agentic Workflows/orchestration. Engineering ...

execute complex workflows. This is a unique opportunity to work at the intersection of Generative AI and robust software engineering, applying cutting-edge LLM techniques to high-stakes, real-world data. What You'll Be Doing Agentic System Design: Build intelligent AI agents capable of autonomous task execution using LLMs … advanced reasoning frameworks. LLM Specialization: Implement RAG (Retrieval-Augmented Generation) pipelines and fine-tune models using PEFT/LoRA to create domain-specific insurance experts. Production Engineering: Design and maintain robust ETL/ELT pipelines and manage the lifecycle of models using Docker, Kubernetes, and CI/CD . Responsible ...

execute complex workflows. This is a unique opportunity to work at the intersection of Generative AI and robust software engineering, applying cutting-edge LLM techniques to high-stakes, real-world data. What You'll Be Doing Agentic System Design: Build intelligent AI agents capable of autonomous task execution using LLMs … advanced reasoning frameworks. LLM Specialization: Implement RAG (Retrieval-Augmented Generation) pipelines and fine-tune models using PEFT/LoRA to create domain-specific insurance experts. Production Engineering: Design and maintain robust ETL/ELT pipelines and manage the lifecycle of models using Docker, Kubernetes, and CI/CD . Responsible ...

Engineer - Agentic AI & LLM Solutions Location: London (Hybrid) Contract: 12 months, Inside IR35 We are seeking an experienced AI Engineer to join a leading global investment house embarking on an ambitious AI transformation programme. This is a high-impact contract role focused on building end-to-end agentic … LLM-based solutions that solve real business problems across trading, operations, research, and Front Office functions. You'll work directly with business stakeholders to understand workflows, design intelligent automation solutions, and rapidly prototype working AI systems that deliver measurable value. Key Responsilities: AI Solution Design & Delivery Build ...

Norwich/London Mode of Working: Hybrid Hybrid Requirement: 3 days Duration of Assignment: 6 Months The Role Cloud Security Engineer Cloud/AI (LLM Security) Your Responsibilities Deliver cloud security engineering capability focused on securing AI, LLM, and cloud-native workloads, with AWS as the primary environment and Azure … secondary platform. Implement secure cloud architectures and controls, ensuring AI/LLM workloads comply with organisational security standards and cloud security policies. Work with architects and AI engineering teams to define secure patterns for LLM deployments, AI agents, and model pipelines across cloud environments. Engineer and operationalise cloud-native security ...

monitor transfer market opportunities, including players approaching contract expiry, loan candidates, and undervalued assets relative to profile AI-Powered Workflows Develop and deploy LLM-powered scouting tools for example, systems that automatically generate structured player summary reports from statistical profiles or unstructured scouting notes Build retrieval-augmented generation (RAG) pipelines … NumPy, matplotlib/plotly) Strong SQL skills ability to design schemas, write complex queries, and manage relational data across large datasets Demonstrated experience integrating LLM APIs (Anthropic, OpenAI, or equivalent) to build AI-assisted workflows, automated pipelines, or analytical tools Version control proficiency (Git) all analytical work should be reproducible ...

ingestion: SAP, APIs, email, flat files) * Client-specific models built on shared base models (micro-model architecture) * Feedback-driven learning loops and model iteration * LLM workflows for document analysis (multi-prompt pipelines) * AWS and GCP infrastructure (Azure being introduced) * Containerised deployments with CI/CD * Multi-environment deployment (cloud, hybrid … complex business logic * Experience in small, fast-moving teams (startup, scaleup, or consulting) * Strong communication and documentation skills Nice to have: * Experience with LLM workflows (RAG, LangChain, etc.) * Experience in logistics, trade, or compliance data * Experience supporting client-facing or pre-sales conversations To Apply: Please email ...

Responsibilities Build and ship production ready AI/ML features-from data ingestion and feature engineering to model training, evaluation, and deployment Develop LLM/GenAI solutions (prompt engineering, tool use, guardrails) and RAG pipelines (chunking, embeddings, vector search, caching, re ranking) Optimise training and inference performance via batching, quantisation … with API Development and Microservices architecture Experience in CI/CD pipelines, and containerization (Docker/Kubernetes), Harness and Git actions Practical experience implementing LLM and GenAI solutions, including prompt engineering, model fine tuning, RAG pipelines, embeddings, and vector databases Build scalable data pipelines and workflows on GCP (Big Query ...

frameworks Architect and optimise AWS-based data and AI infrastructure for secure, high-performance data processing Develop, fine-tune, benchmark and evaluate GenAI/LLM models, including custom training and inference optimisation Implement and maintain Retrieval-Augmented Generation (RAG) pipelines, vector databases and document processing workflows Build reusable frameworks … integration Hands-on experience with AWS services (e.g. S3, Glue, Lambda, EMR, Bedrock or custom model hosting) Practical experience developing and evaluating GenAI/LLM models Strong understanding of RAG architectures, embeddings and vector databases Experience handling structured and unstructured data (e.g. text, documents, logs, images) Knowledge of scalable storage ...

Skills Python, TypeScript LLM frameworks (LangChain, LlamaIndex, OpenAI tools, Semantic Kernel) Vector databases (Pinecone, Weaviate, Chroma) Cloud (AWS/Azure/GCP) Docker, Kubernetes CI/CD, observability, testing for AI systems Experience Strong experience building LLM applications, RAG systems, or AI agents Understanding of prompt engineering, tool-calling ...

Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents ...

seeking a highly experienced Enterprise AI Architect to provide strategic architectural leadership for the adoption of agentic AI and Large Language Model (LLM) capabilities across complex, enterprise-scale delivery environments. Operating at senior level and reporting into senior engineering leadership , this role will shape how advanced AI patterns-such … autonomous agents, multi-agent workflows, and enterprise LLM integrations-are safely, securely, and pragmatically embedded across the full SDLC. This is a hands-on strategic role for someone who can operate comfortably across architecture, governance, delivery, and senior stakeholder engagement in highly regulated environments. Key responsibilities Strategic Architecture Leadership Define ...

Forward Deployed Engineer - Contract Morela is supporting a fast-growing AI start-up in hiring multiple Forward Deployed Engineers to work directly with customers, embedding into their environments to design, build and deploy high-impact ...

Software Development Manager (Contract) – Data & AI Transformation Location: London (Hybrid – 1 day onsite) Contract: Day Rate We’re working with a global investment-focused organisation delivering a major transformation programme, replacing a legacy platform with ...

The Solution Architect & AI Manager will bridge the gap between complex data architecture and cutting-edge AI implementation. You will be responsible for the strategic delivery of the AIPX framework within the Balance Sheet Management ...

leadership for AI delivery at scale We're looking for an experienced AI Engineering Lead to provide hands-on technical direction across teams implementing LLM-based and agentic AI components within complex, enterprise delivery environments. This role sits between architecture and delivery, ensuring that high-level solution designs are translated … requirements, capabilities and integration considerations Required experience Strong background as a senior software engineer, technical lead or AI engineering lead Hands-on experience delivering LLM-based and/or agentic AI solutions Experience working within structured SDLC environments Comfortable operating in complex, regulated or high-assurance programmes Nice to have ...